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Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection.

, , , , , , , , , , , , , , и . CoRR, (2023)

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Rawat Siripokarpirom

Ambrish Saxena

Anuj Rawat

Vijay Pal Singh Rawat

 

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Extending Knowledge Bases Using Images., , и . AKBC@NIPS, OpenReview.net, (2017)The Devil Is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models., , и . ESORICS (3), том 13556 из Lecture Notes in Computer Science, стр. 776-783. Springer, (2022)Challenges and Pitfalls of Bayesian Unlearning., , , и . CoRR, (2022)Towards Consistency of Adversarial Training for Generative Models, и . (2017)cite arxiv:1705.09199.Automation of Deep Learning - Theory and Practice., , и . ICMR, стр. 5-6. ACM, (2020)Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training, и . (2017)cite arxiv:1705.09199.Pruning Federated Learning Models for Anomaly Detection in Resource-Constrained Environments., , , , , и . IEEE Big Data, стр. 3274-3283. IEEE, (2023)Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models., , , , , и . ACL (1), стр. 7423-7442. Association for Computational Linguistics, (2023)Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection., , , , , , , , , и 5 other автор(ы). CoRR, (2023)Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training., и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 642-651. PMLR, (2018)